Chapter title |
Multi-Color FLUOROSPOT Counting Using ImmunoSpot ® Fluoro-X™ Suite
|
---|---|
Chapter number | 10 |
Book title |
Handbook of ELISPOT
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8567-8_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8566-1, 978-1-4939-8567-8
|
Authors |
Zoltán Megyesi, Paul V. Lehmann, Alexey Y. Karulin, Megyesi, Zoltán, Lehmann, Paul V., Karulin, Alexey Y. |
Abstract |
Multi-color FLUOROSPOT assays for simultaneous detection of several T-cell cytokines and/or classes/sub-classes of immunoglobulins secreted by B cells have recently become a major new avenue of development of ELISPOT technology. Advances in assay techniques and the availability of commercial test kits stimulated development of multi-color FLUOROSPOT data analysis platforms. The ImmunoSpot® Fluoro-X™ Software Suite was developed by CTL as an integrated data acquisition, analysis, and management solution for automated high-throughput processing of multi-color T- and B-cell FLUOROSPOT assay plates. The Fluoro-X™ software counting module is based on SmartSpot™/AutoGate™ technologies and utilizes CTL's Center of Mass Distance algorithm for the detection of multi-color spots. The Fluoro-X™ software provides an objective, user error-free means for analyzing multi-color FLUOROSPOT data. An integrated quality control module, with optional GLP and CFR Part 11 compliant package and role-based security, enables data validation, review, and approval with complete audit trails. The extensive multi-format data output and presentation capabilities of the Fluoro-X™ software allow further analysis of FLUOROSPOT data using any commercial flow cytometry software and facilitate the generation of professional reports and presentation. In this article, we present a detailed step-by-step workflow for the analysis of a human four-color IFN-γ, IL-2, TNF-α, and GzB antigen-specific T-cell assay using the Fluoro-X Software Suite. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 2 | 20% |
Student > Doctoral Student | 2 | 20% |
Student > Master | 2 | 20% |
Professor | 1 | 10% |
Other | 1 | 10% |
Other | 0 | 0% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 30% |
Engineering | 2 | 20% |
Immunology and Microbiology | 1 | 10% |
Arts and Humanities | 1 | 10% |
Unknown | 3 | 30% |